Fork of Loading and Parsing CSV Data

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Fork of Loading and Parsing CSV Data

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Last edited Jul 2, 2024

Created on Jul 2, 2024

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This example demonstrates how to load and parse CSV data using D3 version 5, displaying summary statistics about the CSS Named Colors dataset from a GitHub gist. The visualization shows three key metrics: the file size in kilobytes, the number of rows, and the number of columns, rendered in large text. It utilizes D3’s `d3.csv` method with Promise-based asynchronous loading, alongside commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`. The code also includes a commented "pyramid of doom" example comparing older nested callback patterns with modern approaches.

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A program that loads and parses some CSV data: CSS Named Colors.

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This example demonstrates how to load and parse CSV data using D3 v5 and asynchronous JavaScript. It fetches a dataset of CSS named colors from a GitHub gist and displays summary statistics, including file size in kilobytes, row count, and column count, in a large text format. The code uses `d3.csv` with promise-based `.then()` handling, as well as commented alternatives using `fetch`, `async`/`await`, and `d3.csvParse`. It also references older callback-based "pyramid of doom" patterns for comparison.

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This example demonstrates loading and parsing CSS Named Colors data from a CSV file using D3 v5’s `d3.csv` method, which returns a promise. The visualization displays three summary statistics as large text: the file size in kilobytes, the number of data rows, and the number of columns. The code also includes commented alternatives using `fetch`, `async`/`await`, and `d3.csvParse`, plus a “pyramid of doom” nested fetch example, illustrating different approaches to asynchronous data loading. The computed values are shown in a `<pre>` element without any graphical chart.

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